ALLaM 1 13B Instruct vs GPT-4.1 Nano
| Signal | ALLaM 1 13B Instruct | Delta | GPT-4.1 Nano |
|---|---|---|---|
Capabilities | 17 | -67 | |
Pricing | 98 | -1 | |
Context window size | 57 | -38 | |
Recency | 6 | -24 | |
Output Capacity | 58 | -38 | |
Benchmarks | 0 | -23 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
30.3
current score
ALLaM 1 13B Instruct
right now
29.4
current score
ALLaM 1 13B Instruct
HUMAIN
GPT-4.1 Nano
OpenAI
GPT-4.1 Nano saves you $240.00/month
That's $2880.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | GPT-4.1 Nano | Winner |
|---|---|---|---|
| Overall Score | 30 | 29 | ALLaM 1 13B Instruct |
| Rank | #427 | #428 | ALLaM 1 13B Instruct |
| Quality Rank | #427 | #428 | ALLaM 1 13B Instruct |
| Adoption Rank | #427 | #428 | ALLaM 1 13B Instruct |
| Parameters | 13B | -- | -- |
| Context Window | 4K | 1048K | GPT-4.1 Nano |
| Pricing | $1.80/$1.80/M | $0.10/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 83 | GPT-4.1 Nano |
| Pricing | 98 | 100 | GPT-4.1 Nano |
| Context window size | 57 | 96 | GPT-4.1 Nano |
| Recency | 6 | 31 | GPT-4.1 Nano |
| Output Capacity | 58 | 96 | GPT-4.1 Nano |
| Benchmarks | -- | 23 | GPT-4.1 Nano |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 30/100 (rank #427), placing it in the top -47% of all 290 models tracked.
Scores 29/100 (rank #428), placing it in the top -47% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose ALLaM 1 13B Instruct when you need:
- Budget-friendly applications with moderate quality requirements
Choose GPT-4.1 Nano when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1048K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
GPT-4.1 Nano offers 86% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $54.00/month with ALLaM 1 13B Instruct - a $46.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (30/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
ALLaM 1 13B Instruct and GPT-4.1 Nano are extremely close in overall performance (only 0.9000000000000021 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1 Nano
86% lower pricing; better value at scale
Best for Reliability
ALLaM 1 13B Instruct
Higher uptime and faster response speeds
Best for Prototyping
ALLaM 1 13B Instruct
Stronger community support and better developer experience
Best for Production
ALLaM 1 13B Instruct
Wider enterprise adoption and proven at scale
by HUMAIN
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | ALLaM 1 13B Instruct | GPT-4.1 Nano |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
ALLaM 1 13B Instruct
HUMAIN
GPT-4.1 Nano
OpenAI
GPT-4.1 Nano saves you $4.74/month
That's 88% cheaper than ALLaM 1 13B Instruct at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | ALLaM 1 13B Instruct | GPT-4.1 Nano |
|---|---|---|
| Context Window | 4K | 1.0M |
| Max Output Tokens | 4,096 | 942,818 |
| Open Source | No | No |
| Created | Dec 1, 2024 | Apr 14, 2025 |